Study of attenuation depths for MODIS bands in the Bohai Sea in China

Size: px
Start display at page:

Download "Study of attenuation depths for MODIS bands in the Bohai Sea in China"

Transcription

1 Acta Oceanologica Sinica 2009, Vol.28, No.5, p Study of attenuation depths for MODIS bands in the Bohai Sea in China LIU Ying 1,2, LI Guosheng 1 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing , China 2 Xinjiang Institute of Ecology and Geogrphy, Chinese Academy of Science, Urumqi , China Received 13 October 2009; accepted 29 April 2009 Abstract An attenuation depth is defined for remote sensing purposes as a depth above which 90% of the arising light leaving the water surface is originated. The deeper the attenuation depth, the more information of water is detectable by remote sensing, then the more precise information of water is extracted. Meanwhile, the attenuation depth is helpful to know water layer (by its thickness) from which remote sensing will be able to extract information. A number of investigators are using the moderate resolution imaging spectroradiometer (or MODIS) for remote sensing of ocean color. It is necessary to have a rough idea of the effective attenuation depth of imagery in each of the spectral bands employed by the MODIS. The attenuation depth is directly determined from MODIS data. Though analyzing the spectral distribution of the attenuation depth on 7 August 2003 and the seasonal variation of the attenuation depth (551 nm) in the Bohai Sea indicated that: the spectral distribution of the attenuation depth for the spectral range between 400 to 700 nm is single-peak curve, and it s similar and difference in different regions is consistent with other scholars results of zoning, moreover, it supports the Bohai Sea is Case 2 water; the maximum attenuation depth shifts toward longer wavelengths, liking the red shift, with increase of turbidity of water, just like the maximum attenuation depth in the outside of the northwest coast of the Bohai Sea and the Bohai Strait is at 531nm, in the central of the Bohai Sea is at 551nm, in the region controlled by the Huanghe (Yellow) River, the region impacted by the old Huanghe River, the western side of the Liaodong Bay and the eastern side of the Liaodong Bay is at 555 nm; the seasonal change of the attenuation depth is the largest in the summer, followed by the fall, and the ranking of winter and spring in different regions is distinct. The attenuation depth in different regions is dissimilar: the order of the attenuation depth in different regions from small to big is the region controlled by the Huanghe River or the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the region impacted by the old Huanghe River, the central of the Bohai Sea or the outside of the northwest coast of the Bohai Sea, the Bohai Strait (except at 412 nm and 645 nm), in which between the region controlled by the Huanghe River and the eastern side of the Liaodong Bay (and between the central of the Bohai Sea and the outside of the northwest coast of the Bohai Sea) it varies in different seasons and different bands. Key words: attenuation depth, MODIS, Bohai Sea 1 Introduction In visible band, the important difference between ocean remote sensing and terra remote sensing is that the former can detect water body information over certain depth under surface (Liang and Chen, 1989). Spectral information in different wavelengths in fact contains information of different thickness of water bodies (Mei et al., 2001). The attenuation depth of different bands in assorted water bodies and even in the same water body varies, so the information of the water body contained in remote sensing data is also distinct (Liang and Chen, 1989). For example, in the same band, in clear waters, its attenuation depth has high value, so it can detect the material composition of the bottom, and measure water depth, but in turbid waters, because its attenuation depth has low value, it is not suitable for detecting them, so it is generally mostly used to detect the concentration of suspended sediment or chlorophyll; in the same waters, in different bands, their attenuation depth is diverse, they representing water bodies information is dissimilar. The attenuation depth shows that information detected by remote sensing comes from how deep water layer be- Foundation item: The National Natural Science Foundation of China with grant numbers and Corresponding author, ligs@igsnrr.ac.cn 1

2 40 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No. 5, P low the surface is. The greater the attenuation depth, the more the water information was contained in remote sensing, thus the higher the accuracy of detecting the water information. The attenuation depth can be used for estimating the mean of the associated property (Gordon and Brown, 1975; Gordon and Clark, 1980; Gordon and McCluney, 1975; Gordon, 1978; Sathyendranath and Platt, 1989), selecting band to calculate the concentration of suspended solids and guiding field measurement (in the non-uniform water body, measurements extend at least to the attenuation depth) (Famer et al., 1993; Gordon, 1978) and so on. The attenuation depth is also known as penetration depth or optical depth or information layer (Arst, 2003), and is defined for remote sensing purpose as the depth above which 90% of the diffusely reflected irradiance (excluding specular reflectance) emanates (Gordon and McCluney, 1975). The definition of attenuation depth is beneficial to estimate it and it really provides the bulk of the water body information. It is different from the euphotic depth which is the upper layer of oceans, lakes or rivers with enough light penetration for effective photosynthesis and is usually the depth where downwelling irradiance is equal to 1% from its value at the surface (Arst et al., 1996). Moreover, it is smaller than euphotic zone depth, and represents basically the largest depth the sensor can detect. It is controlled to some extent by the absorption coefficient of the medium (Gordon and McCluney, 1975) and is a function of wavelength for various water types (Jerlov, 1968). The previous study indicated that the maximum attenuation penetration is about 55 m near 475 nm in the clear water of the Sargasso Sea (Jerlov, 1968) and it expected for MSS on ERTS-l is found to be somewhat less than 20 m (Gordon and McCluney, 1975). In the past, the attenuation depth was commonly expressed by Secchi depth. At the beginning of the 19th century, Secchi Disk was lowered into the water until it disappears from view in order to obtain approximate information as to the attenuation depth of sunlight into the water, but this measurement is crude at best because it is not clearly understood how Secchi depth is associated with the attenuation of electromagnetic radiation at different depths (Islam et al., 2004). In the 1970s, Gordon et al. derived theoretical formula of the attenuation depth and applied it (Gordon and McCluney, 1975). In addition, in the 1980s, Liang defined the remote sensing perspective depth, derived its calculation formula and analyzed its relationship with the attenuation depth (Liang and Chen, 1989). The formula Gordon et al. derived for calculating the attenuation depth has been widely used (Arst et al., 1996; Gordon and Boynton, 1998; Gordon and Brown, 1975; Gordon and Clark, 1980; Gordon and McCluney, 1975; Gordon, 1978; Mishra et al., 2005; Sathyendranath and Platt, 1989), and its effectiveness has confirmed whether it s applied to uniform or nonuniform water body. However, it is determined only through direct measurements made in the water with an irradiance meter (Gordon and McCluney, 1975). The Bohai Sea is mostly the Case 2 water and its optical properties are very complicated (Zhou et al., 2005). It is relatively shallow with an average depth of 18.2 m and has sufficient light, so there are higher concentration of chlorophyll pigments and rich in a variety of algae and plankton micro-organisms. While it has vast beach and many inflow rivers, such as the Huanghe River, the Haihe River and the Liaohe River, in which the former two rivers have a large number of suspended sediments and suspended solids of landbased sources, so there are higher concentrations of suspended sediments (Yue et al., 1999; Zhou et al., 2005). Therefore, it is very significant that attenuation depths of MODIS wavelengths were studied in complex optical properties of the Bohai Sea. 2 Methods According to the results of Gordon and McCluney (1975), the attenuation depth can be easily obtained using the QSS model. The water surface leaving radiance over the depth z is given by L Z (µ ) = 4H 0 T (µ, µ ) n(n + 1) µ P ( µ) ω 0 1 ω 0 F {1 exp[ zc(1 ω 0 F )(1 + µ)/µ]}, (1) where µ = cosθ, µ = cosθ, θ =the sensor observation angle (with the zenith), and θ= the underwater incidence angle corresponding to the θ ; n=the refractive index of water; T (µ, µ )=Fresnel transmittance from an angle cos 1 (µ) to cos 1 (µ ); P ( µ)= phase function for scattering through an angle cos 1 (µ) from the incident beam; ω 0 = the ratio of the scattering coefficient b to the beam attenuation coefficient c; F = the fraction of b scattered in the forward direction; H 0 = collimated irradiance from the zenith; µ 2 = 1 n 2 (1 µ 2 )(according to Snell s law).

3 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No.5, P The total radiance leaving water surface is L Z (µ ) = 4H 0 n(n + 1) 2 T (µ, µ ) 1 + µ P ( µ) ω 0 1 ω 0 F According to the definition of the effective attenuation depth [z 90 (µ )] that the depth above which 90% of the total radiance originates, so or But [L Z90 (µ )]/[L Z (µ )] = 0.9 = 1 exp[ Z 90 (µ )c(1 ω 0 F )(1 + µ)/µ] z 90 (µ )c(1 ω 0 F ) = 2.3µ/(1 + µ). c(1 ω 0 F ) = K(0, ), where K(0, ) is the attenuation coefficient of downwelling irradiance just beneath the surface, so z 90 (µ )(K(0, )) = 2.3µ/(1 + µ). (2) Equation (2) shows that z 90 (µ )(K(0, )) is almost independent of µ, and in fact z 90 (µ )(K(0, )) = 1. (3) Due to z 90 (µ ) is almost independent of µ, the attenuation depth can be defined alternately as R z90 /R = 0.9, where R z is the diffuse reflectance of the ocean due to a surface layer of thickness z and for an axisymmetric incident radiance distribution is given by thus R z = 2π 1 0 L z (µ )µ dµ /H 0, z 90 (K(0, )) 1. (3 ) If K(λ)(m 1 ) is the diffuse attenuation coefficient of wavelength λ of the downward irradiance, then z 90 (λ) = 1/K(λ). (4) For non-uniform water, the diffuse attenuation coefficient is the average over the attenuation depth which is also written as K d (λ). In addition, according to Beer-Lambert law (Jerlov, 1968), irradiance is exponential attenuation with depth increasing, I z = I 0 e Kz where I z =irradiance at water depth z, I 0 =the sea surface irradiance. Generally, the attenuation depth is the depth at which the downwelling in-water irradiance falls to 1/e of its value at the surface. For getting the attenuation depth, it is necessary to firstly obtain the diffuse attenuation coefficient according to Eq.(3 ). The diffuse attenuation coefficient for downwelling irradiance (K d ) is an important property for ocean studies (Lee et al., 2005b). It can be used to classify water types (Jerlov, 1968), and is a critical parameter for the accurate estimation of the light intensity at depth. In addition, it is an apparent optical property, so it varies largely with solar zenith angle, sky and surface conditions, as well as with depth even within the well mixed water column (Lee et al., 2005a). However, studies have shown that it is determined to a large extent by the inherent optical properties of the aquatic medium (e.g., absorption coefficient and volume scattering function) and are not altered obviously by changes in the incident radiation field such as a change in solar elevation (Mishra et al., 2005). For the vast oceans, the estimation of K d (λ) of the surface layer by satellite remote sensing of ocean color is the only practical means to provide repetitive measurements over extended spatial and temporal scales. There are two standard methods used for the derivation of K d (λ) in ocean color remote sensing. Both are based on empirical relationships involving the blue-to-green ratio of ocean color. In Method 1, K d (490)(K d at λ=490 nm) is first estimated from an empirical algorithm based on the relationship between K d (490) and the blue-to-green ratio of water-leaving radiance, Lw, or remote-sensing reflectance, R rs. Then this K d (490) value can be used to estimate K d at other wavelengths from empirical relationships between K d and K d (λ). In Method 2, chlorophyll a concentration (Chl) is estimated from an empirical algorithm based on the blue-to-green ratio of R rs. Then this Chl value is used for the estimation of R rs based on another set of empirical relationships between R rs and Chl (Lee et al., 2005a). In addition, there is Method 3 which is a semi-analytical method to calculate from R rs based on numerical simulations of radiative transfer in the ocean (Lee et al., 2005b). This method quasi-analytically first derives the absorption and backscattering coefficients from

4 42 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No. 5, P K rs (λ), and these coefficients are then used as input to a semi-analytical model to estimate the values of K rs (λ). These two standard methods are insufficient to provide an understanding regarding the variation of K rs (λ) and contain large uncertainties in the derived values (Lee et al., 2005b). In addition, they produced satisfactory estimation of K rs (λ) in oceanic waters, but resulted in significant errors in coastal waters (Lee et al., 2005a). While the semi-analytical method provides an improved interpretation about the variation of K rs (λ) and a basis to more accurately determine K rs (λ) (especially using data from remote sensing) (Lee et al., 2005b). Moreover, an important attribute of Method 3 is that its application requires no separation of the entire dataset into subsets of data, such as Case 1 and Case 2 waters, it performed well for both oceanic and coastal waters (Lee et al., 2005a). Furthermore, compared to exact numerical simulation of radiative transfer, its calculation process is more simple and effective. This paper has used just Method 3 to derive K rs (λ) of MODIS wavelengths. Under SeaDAS5.2, K rs (λ) was calculated through the semi-analytical method of Lee et al.(lee et al., 2005b, 2002) which is based on inherent optical property, and then the attenuation depth was calculated based on the formula Gordon et al. derived (Gordon and McCluney, 1975). 3 Results MODIS (Terra/Aqua) data were taken as the remote sensing data source, for its medium spatial resolution, near daily coverage, freely distributed processing software systems, as well as available without charge from several data archives and distributions. These cloud free MODIS images (without or with little cloud or suspicious haze) of the Bohai Sea ( N, E) in 2003 were selected and downloaded from the ocean color web site (OBPG, 2009). The level 0 which is not extracted, level 1, level 2 (normalized, water-leaving radiances), meteorology & Ozone, and attitude & ephemeris data were downloaded. The atmospheric correction method of Liao et al.(liao et al., 2005) was applied. The SeaDAS5.2 (OBPG, 2008) was used for geometric correction, projection transformation, and extraction of the study area as well as calculating K d (λ) and the attenuation depth. 3.1 Variation of the attenuation depth with wavelength Data of 7 August 2003 was selected for the spectral and regional analysis of the attenuation depth of MODIS wavelengths in the Bohai Sea. The respective attenuation depths for eight wavelengths in the range between 400 to 700 nm are shown in Fig. 1. Beyond 645 nm, the discrepancy of the attenuation depth at different waters was less, then the spatial variability can be hardly seen, which can also be seen from the Jerlov s (Jerlov, 1968) study. In his study, beyond the 600 nm, there is minor difference of the attenuation depth in different water bodies (Fig. 2). Thus the attenuation depths beyond 645 nm is not shown and analyzed. In Fig. 1, NA means not available, which represents apart from mainly land, and also very small region of the attenuation depth was calculated wrong which was caused by the bands saturation and the true signal is unknown over highly turbid coastal waters (Franz, 2006). Data about the attenuation depth of the MODIS wavelengths show that it has considerable spatial variability in the Bohai Sea (Fig. 1). It is increases from the shore to the central of the Bohai Sea. The attenuation depth in the coast has lower value, especially in the Bohai Bay, the Laizhou Bay, and the Liaodong Bay, it is less than 4.5 m, and mostly below 3 m, while it in the central of the Bohai Sea has higher value, particularly in the western region of Liaodong Bay estuary, the region surrounding the central Bohai Sea, and the vicinity of the Bohai Strait, it is larger than that in other regions. According to the zoning of the ocean color spectrum (Zhou et al., 2005) as well as the suspended solids concentration distribution (Jiang et al., 2002, 2004; Qin and Li, 1982; Wang and Li, 2007) in Bohai Sea, together with taking into account points representing different regions selected accuracy and convenience (in the cross-point), seven points that enough represent situation of the Bohai sea were selected to analyze the variation of the attenuation depth with the wavelength of light (Fig. 3). The region controlled by the Huanghe River, the region affected by the old Huanghe River, the outside of the northwest coast of the Bohai Sea, the western side of the Liaodong Bay, the eastern side of the Liaodong Bay, the central of the Bohai Sea and the Bohai Strait were represented by the following Points A, B, C, D, E, F, and G, respectively.

5 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No.5, P Fig.1. The attenuation depths Z 90 (m) for several wavelengths in the Bohai Sea on 7 August The attenuation depth of points representing different regions on 7 August 2003 was extracted separately and drawn in Fig. 4. The spectral distribution of the attenuation depth is similar and is a single peak curve. They are basically similar in both the region controlled by the Huanghe River and the eastern side of the Liaodong Bay; in both the region impacted by the old Huanghe River and the western side of the Liaodong Bay, they are basically parallel, except they are cross at 645 nm (their attenuation depth are respectively 2.027, m); they also have some similarities in both the outside of the northwest coast of the Bohai Sea and the central of the Bohai Sea, for example, at 531, 551, 555 nm, they almost overlap, at 412, 443, 469, 488, 645 nm, it in the outside of the northwest coast of the Bohai Sea is lower than that in the central of the Bohai Sea; there are obviously difference between the attenuation depth of the Bohai Strait and that of other regions because the former values are generally higher than the latter values, except at 645 nm the attenuation depth because the impact of cloud is not correctly obtained. These similarities or differences are consistent with the zoning of Zhou et al.(2005) and Jiang et al.(2002). In addition, the attenuation depth of all these points of the showed MODIS wavelengths is greater than at least 0.5 m. Moreover, in the same band, the order of the attenuation depth of different regions from small to

6 44 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No. 5, P Fig.3. Location of points represents different regions. Fig.2. Variation of Z 90 with wavelength for various water types given by Jerlov [1968]. big is basically the region controlled by the Huanghe River or the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the region impacted by the old Huanghe River, the central of the Bohai Sea or the outside of the northwest coast of the Bohai Sea, the Bohai Strait (except at 412 nm and 645 nm); at different bands, it is almost like so but it varies between the region controlled by the Huanghe River and the eastern side of the Liaodong Bay (and between the central of the Bohai Sea and the outside of the northwest coast of the Bohai Sea). In Fig. 4, the maximum attenuation depth of the outside of the northwest coast of the Bohai Sea and the Bohai Strait is at 531 nm, that of the central of the Bohai Sea is at 551 nm, while that of the region controlled by the Huanghe River, the region impacted by the old Huanghe River, the western side of the Liaodong Bay, the eastern side of the Liaodong Bay is at 555nm, which shifts toward longer wavelengths (the red) with increase of turbidity of water, and is basically the same as the results of Jerlov (1968) (Fig. 2). Comparison of Fig. 4 with Fig. 2 and the results of Arst (2003) showed except the Bohai Strait is Case 1 water (or ocean water), other regions are all Case 2 water (or coastal water), so it can be further confirmed that the Bohai Sea is a typical region of Case 2 water in China. Fig.4. Spectral distributions of the attenuation depth in the Bohai Sea on 7 August Seasonal variation of the attenuation depth The attenuation depth at 551nm is larger than that at other wavelengths and has more obvious differences between different regions (in Fig. 4), so it was taken as a representative to analyze the seasonal changes of the attenuation depth of the Bohai Sea. The four-day data which have few clouds (but they are not entirely without clouds, for MODIS data of the Bohai Sea are more seriously affected by the cloud) and represent the four or abundance-dry season changes were selected for analysis. These four days are 3 March, 7 August, 15 October., 7 December in 2003, representing spring, summer, fall, and winter, respectively. It is very difficult with naked eye to analyze the seasonal variability of the attenuation depth of the whole Bohai Sea, so those points just like that of analyzing the spectral distribution of the attenuation depth were also selected and their four-days data were extracted (in Table 1), in which Points A and B have

7 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No.5, P the right value only on 7 August. The season descending order of the attenuation depth of both the western side of the Liaodong Bay and the eastern side of the Liaodong Bay is characterized by summer, fall, spring, winter, while that of the outside of the northwest coast of the Bohai Sea, the central of the Bohai Sea and the Bohai Strait is characterized by summer, fall, winter and spring. Thus, the attenuation depth in summer is the biggest, and fall is in the second, the order of the attenuation depth of spring and winter in different regions varies. In addition, in the same season, the ranking of attenuation depth from small to big in different regions is basically the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the central of the Bohai Sea, the outside of the northwest coast of the Bohai Sea, the Bohai Strait (but in spring it is the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the outside of the northwest coast of the Bohai Sea, the central of the Bohai Sea, the Bohai Strait), and in the summer, when all different regions data are available, it is in essence the region controlled by the Huanghe River, the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the region impacted by the old Huanghe River, the central of the Bohai Sea, the outside of the northwest coast of the Bohai Sea, the Bohai Strait, which is fundamentally similar to the above conclusions of the order of attenuation depth in different regions at the same band. Table 1. Seasonal variation of the attenuation depths (Z 90/m) (MODIS 551 nm) in the Bohai Sea A B C D E F G 7 December March August October Discussion Like the previous methods described, the attenuation depth and the diffuse attenuation coefficient are subject to the light field, atmospheric conditions and inherent optical properties of water bodies. In this paper, under the assumption that the light field and atmospheric conditions in the whole Bohai Sea (approximately km 2 in area (Zhou et al., 2005)) were the same, the attenuation depth was analyzed, that is, the change of the attenuation depth of the Bohai Sea with wavelengths and inherent optical property was mainly analyzed. Through analyzing spectral distributions of the attenuation depth of a particular period (7 August 2003) and seasonal variations of the attenuation depth at some band (551 nm) and selecting points represented different regions for analyzing, spectral distributions and spatial-temporal variations of the attenuation depth of the Bohai Sea were essentially obtained. The spectral distribution of the attenuation depth was studied by many researchers (Arst, 2003; Arst et al., 1996; Gordon and McCluney, 1975). It was also studied in the Bohai Sea where it is a single-peak curve wich is basically consistent with that of the related research. It has obvious regional characteristics in the Bohai Sea which reflects the optical complexity of the Bohai Sea. Both the region controlled by the Huanghe River and the eastern side of the Liaodong Bay have more similar water body property, and both are river (the Huanghe River and Liaohe River) inflow affected areas, but land-based sources of material carried by the Huanghe River is more than that by Liaohe River, so the attenuation depth of the region controlled by the Huanghe River should be theoretically smaller than that of the eastern side of the Liaodong Bay, but the real situation is not so for that is reversed at wavelengths less than 469 nm; the spectral distribution of the attenuation depth of the western side of the Liaodong Bay and the region impacted by the old Huanghe River is parallel, and the attenuation depth of the western side of the Liaodong Bay is less than that of the region impacted by the old Huanghe River, which may be partly due to the off-shore distance of Point B is greater than that of Point D and the material of land-based sources reduces along the direction the near-shore to the central of the Bohai Sea, in addition, both the western side of the Liaodong Bay and the region impacted by the old Huanghe River are little affected by river inflow; the attenuation depth of the outside of the northwest coast of the Bohai Sea, the central of the Bohai Sea, and the Bohai Strait also reflects the situation of land-based sources material which reduces along the direction from near-shore to the central of the Bohai Sea, and it can be basically said that the attenuation depth of the outside of the northwest coast of the Bohai Sea and the central of the Bohai Sea is less than that of the Bohai Strait,

8 46 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No. 5, P and as to the attenuation depth of the outside of the northwest coast of the Bohai Sea and the central of the Bohai Sea, at 531, 551, 555 nm, the attenuation depth of the outside of the northwest coast of the Bohai Sea is greater than that of the central of the Bohai Sea, but at 412, 443, 469, 488, 645 nm, the attenuation depth of the central of the Bohai Sea is greater than that of the outside of the northwest coast of the Bohai Sea. Many researchers study results show that water composition of the Bohai Sea changes with season (Jiang et al., 2004; Qin and Li, 1982; Wang and Li, 2007).The main water materials of the Bohai Sea are sediment, chlorophyll and yellow substance. No matter what kind of substances increases, the attenuation depth will decrease, because the attenuation depth is inversely proportional to the absorption coefficient (Gordon and McCluney, 1975), and the absorption coefficient is proportional to the concentration of a variety of substances of water bodies (Arst, 2003). The seasonal change of the attenuation depth at 551nm is the largest in the summer, followed by the fall, and the ranking of winter and spring in different regions is distinct. In spring and winter, the chlorophyll content of water bodies is relatively small. However in winter the winds in the Bohai Sea is strong, and major wind directions are many from north, and strong winds whipped up more sediments, then the optical property of water body at this time are mainly decided by the sediment content. The more the sediment content, the smaller the attenuation depth. So the attenuation depth of the western side of the Liaodong Bay and the eastern side of the Liaodong Bay in spring is greater than that in winter. However the attenuation depth of the outside of the northwest coast of the Bohai Sea, the central of the Bohai Sea and the Bohai Strait in winter is greater than that in spring because sediments content in these areas was less and the role of wind lift sand is small, and even if Point C is in the coastal region but where is the bedrock coast with less sediment sources, and meanwhile compared with in winter, in spring plants start growing, then the absorption coefficient of water bodies is larger, so the attenuation depth is smaller. The attenuation depth of Point A and Point B is not correctly obtained, so the rankings of the attenuation depth of other points in different seasons were mainly analyzed. Except in summer, the general order of the attenuation depth from small to big is the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the central of the Bohai Sea, the outside of the northwest coast of the Bohai Sea, and the Bohai Strait, which is mainly related to the suspended solids content in these regions, such as, in the Bohai Strait, water is more clear, therefore the attenuation depth at the Bohai Strait shows very high value, but in the spring, the attenuation depth of the outside of the northwest coast of the Bohai Sea is less than that of the central of the Bohai Sea. For understanding the above results, further studies are needed, such as the study of water body composition and its content, shape, and size. 5 Conclusions The attenuation depth of the Bohai Sea has obvious regional characteristics. In different regions, the spectral distribution of the attenuation depth is different, but it also has similarities, which basically consists with the zoning of ocean color spectrum (Zhou et al., 2005) and the concentration of suspended sediment (Jiang et al., 2002). The maximum attenuation depth shifts toward longer wavelengths (the red) with the increase of turbidity of water bodies in different parts. Maximum depth attenuation of the outside of the northwest coast of the Bohai Sea and the Bohai Strait is at 531 nm, the central of the Bohai Sea is at 551 nm, the region controlled by the Huanghe River, the region impacted by the old Huanghe River, and the Liaodong Bay is at 555 nm. Though comparing with the spectral distribution of the attenuation depth of other researchers, it is further proved that the Bohai Sea is Case 2 water. In the Bohai Sea, there are seasonal changes of the attenuation depth at 551 nm, in the summer the attenuation depth is the biggest, followed by the autumn, the order of the attenuation depth in spring and winter varies in different regions. In the relatively higher suspended material content regions (like the Liaodong Bay), the descending order of the attenuation depth in different seasons are summer, fall, spring, winter, while in the low suspended solid content regions (like the outside of the northwest coast of the Bohai Sea, the central of the Bohai Sea and the Bohai Strait), it is the summer, fall, winter, spring. In summer, the order of attenuation depth in different regions from small to large is basically the region controlled by the Huanghe River, the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the region impacted by the old Huanghe River, the central of the

9 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No.5, P Bohai Sea, the outside of the northwest coast of the Bohai Sea and the Bohai Strait, in the spring, it is almost the same, except that of the outside of the northwest coast of the Bohai Sea and the central of the Bohai Sea is reversed. In fact, in the Bohai Sea, less than 645nm MODIS wavelengths, the order of the attenuation depth in different regions from small to big is the region controlled by the Huanghe River or the eastern side of the Liaodong Bay, the western side of the Liaodong Bay, the region impacted by the old Huanghe River, the central of the Bohai Sea or the outside of the northwest coast of the Bohai Sea, the Bohai Strait (except at 412 nm and 645 nm), but the order of the attenuation depth between the region controlled by the Huanghe River and the eastern side of the Liaodong Bay (and between the central of the Bohai Sea and the outside of the northwest coast of the Bohai Sea) is reverse in different bands and seasons. It is necessary to analyze the field measurements of the water body material for understanding the reason of the difference. The spectral distribution and the regional characteristic of the attenuation depth were mainly analyzed. Many results have been obtained, however filed measurements are also needed for better explaining them. In some case, the attenuation depth reflects the amount of material content of the water body, so it can be used for water clarity analysis, water classification, zoning (as mentioned above, the greater the attenuation depth, the more the water information remote sensing obtained, and the more accurately the material content inversed, so water color studying should separate the entire region into subsets, such as the region that the band of the maximum attenuation depth is close is divided into one type), as well as water body materials content calculation. References Arst H Optical Properties and Remote Sensing of Multicomponental Water Bodies. Chichester: Praxis Publishing Arst H, Maekivi S, Kutser T, et al Optical investigations of Estonian and Finnish Lakes. Lakes & Reservoirs: Research and Management, 2: Farmer C T, Moore C A, Zika R G, et al Effects of low and high Orinoco River flow on the underwater light field of the eastern Caribbean Basin. Journal of Geophysical Research, 98(C2): Franz B Extension of MODIS ocean processing capabilities to include the 250 & 500-meter land/cloud bands hires/, / Gordon H R, Boynton G C Radiance-irradiance inversion algorithm for estimating the absorption and backscattering coefficients of natural waters: vertically stratified water bodies. Applied Optics, 37(18): Gordon H R, Brown O B Diffuse reflectance of the ocean: some effects of vertical structure. Applied Optics, 14(12): Gordon H R, Clark D K Remote sensing optical properties of a stratified ocean: an improved interpretation. Applied Optics, 19(20): Gordon H R, McCluney W R Estimation of the depth of sunlight penetration in the sea for remote sensing. Applied Optics, 14(2): Gordon H R Remote sensing of optical properties in continuously stratified waters. Applied Optics, 17(12): Islam A, Gao J, Ahmad W, et al A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery. Remote Sensing of Environment, 92(1): Jerlov N G Optical Oceanography. Amsterdam: Elsevier Science Publications Jiang W, Pohlmann T, Sun J, et al SPM transport in the Bohai Sea: field experiments and numerical modeling. Journal of Marine Systems, 44: Jiang Wensheng, Su Jian, Yang Hua, et al The relationship between SPM concentration and hydrodynamic condition in the Bohai Sea. Acta Oceanologica Sinica (in Chinese), 24(Supp.1): Lee Z P, Carder K L, Arnone P R Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. Applied Optics, 41(27): Lee Z P, Darecki M, Carder K L, et al. 2005a. Diffuse attenuation coefficient of downwelling irradiance: An evaluation of remote sensing methods. Journal of Geophysical Research, 110, C02017, doi: /2004jc Lee Z P, Du K P, Arnone R. 2005b. A model for the diffuse attenuation coefficient of downwelling irradiance. Journal of Geophysical Research, 110, C02016, doi: /2004jc Liang Shunlin, Chen Bingxian A study on remote sensing perspective depth into water in visible band. Journal of Nanjing University (Natural Sciences Edition) (in Chinese), 25(2): Liao Yingdi, Zhang Wei, Deschamps P Y Remote sensing of suspended sediments in China east coastal waters from SeaWiFS data. Journal of Hydrodynamics (in Chinese), 20(5):

10 48 LIU Ying et al. Acta Oceanologica Sinica 2009, Vol. 28, No. 5, P Mei Anxin, Peng Wanglu, Qing Qiming, et al An introduction to remote sensing (in Chinese). Beijing: Higher Education Press, Mishra D R, Narumalani S, Rundquist D, et al Characterizing the vertical diffuse attenuation coefficient for downwelling irradiance in coastal waters: Implications for water penetration by high resolution satellite data. ISPRS Journal of Photogrammetry & Remote Sensing, 60(1): OBPG (Ocean Biology Processing Group) at NASA s Goddard Space Flight Center. Ocean color web / OBPG (Ocean Biology Processing Group) at NASA s Goddard Space Flight Center. Ocean color SeaDAS / Qin Yunshan, Li Fan Study on the suspended matter of the sea water of the Bohai Gulf. Acta Oceanologica Sinica (in Chinese), 4(2): Sathyendranath S, Platt T Remote sensing of ocean chlorophyll: consequence of nonuniform pigment profile. Applied Optics, 28(3): Wang Fang, Li Guosheng Two parameters retrieval models of suspended sediment concentration of Bohai Sea Based on MODIS data. Geographical Research (in Chinese), 26(6): Yue Huafu, Zhao Taichu, Chen Lidi, et al Test of the ocean color radiant models in SeaWiFS data. Marine Environmental Science(in Chinese), 18(4): Zhou Liangming, Liu Yunguang, Guo Peifang Characteristics of ocean color spectrum in Bohai Sea and northern Yellow Sea. Marine Science Bulletin (in Chinese), 24(2): 13 19

Water property monitoring and assessment for China s inland Lake Taihu from

Water property monitoring and assessment for China s inland Lake Taihu from Water property monitoring and assessment for China s inland Lake Taihu from MODIS-Aqua measurements By Wang M, W Shi and J Tan, Remote Sensing of Environment 115 (2011) 841-854 Wei Wang 9 December 2011

More information

Zu-Tao Ou-Yang Center for Global Change and Earth Observation Michigan State University

Zu-Tao Ou-Yang Center for Global Change and Earth Observation Michigan State University Zu-Tao Ou-Yang Center for Global Change and Earth Observation Michigan State University Ocean Color: Spectral Visible Radiometry Color of the ocean contains latent information on the water qualitycdom,

More information

OCEAN COLOR PRODUCTS RETRIEVAL AND VALIDATION AROUND CHINA COAST WITH MODIS

OCEAN COLOR PRODUCTS RETRIEVAL AND VALIDATION AROUND CHINA COAST WITH MODIS OCEAN COLOR PRODUCTS RETRIEVAL AND VALIDATION AROUND CHINA COAST WITH MODIS L. Sun a, M. Guo b, X. Wang b a National Satellite Meteorological Center, China Meteorological Administration, No.46 South Avenue

More information

ANALYZING THE SPATIAL AND TEMPORAL VARIABILITY OF WATER TURBIDITY IN THE COASTAL AREAS OF THE UAE USING MODIS SATELLITE DATA

ANALYZING THE SPATIAL AND TEMPORAL VARIABILITY OF WATER TURBIDITY IN THE COASTAL AREAS OF THE UAE USING MODIS SATELLITE DATA ANALYZING THE SPATIAL AND TEMPORAL VARIABILITY OF WATER TURBIDITY IN THE COASTAL AREAS OF THE UAE USING MODIS SATELLITE DATA Muna R. Al Kaabi, Jacinto Estima and Hosni Ghedira Ocean Color Group - Earth

More information

Estimation of chlorophyll-a concentration in estuarine waters:

Estimation of chlorophyll-a concentration in estuarine waters: Estimation of chlorophyll-a concentration in estuarine waters: case study of the Pearl River estuary Yuanzhi Zhang *, Chuqun Chen #, Hongsheng Zhang *, Xiaofei*, Chen Guiying Chen# *Institute of Space

More information

What is Hydrologic Optics? Optics Attentuation Inherent properties Scatter Absorption Apparent properties

What is Hydrologic Optics? Optics Attentuation Inherent properties Scatter Absorption Apparent properties 1 of 7 3/22/2006 1:29 PM Water quality research Water quality Hydrologic optics Components of water quality SERC water research projects CISNet program What is Hydrologic Optics? Optics Attentuation Inherent

More information

Ocean Diurnal Variations Measured by the Korean Geostationary Ocean Color Imager

Ocean Diurnal Variations Measured by the Korean Geostationary Ocean Color Imager Ocean Diurnal Variations Measured by the Korean Geostationary Ocean Color Imager Menghua Wang 1, Lide Jiang 1,2, Seunghyun Son 1,2, & Wei Shi 1,2 1 NOAA/NESDIS Center for Satellite Applications & Research

More information

Note that approval of a data user proposal does not imply Navy S&T financial support.

Note that approval of a data user proposal does not imply Navy S&T financial support. HICO Data User Agreement Between the Naval Research Laboratory And The HICO Data User Principal Investigator Issued on: HICO-based water transparency Mapping in Pearl River Estuary (PRE) of South China

More information

Light and the Aquatic Ecosystem

Light and the Aquatic Ecosystem Light and the Aquatic Ecosystem Why is light important? Ultimate source of energy in all carbon containing materials entering the water. Sunlight drives the entire aquatic ecosystem. What Do Limnologists

More information

USING MERIS DATA FOR THE RETRIEVAL OF CHL A, CDOM AND TSS VALUES IN THE GULF OF FINLAND AND LAKE LOHJANJÄRVI

USING MERIS DATA FOR THE RETRIEVAL OF CHL A, CDOM AND TSS VALUES IN THE GULF OF FINLAND AND LAKE LOHJANJÄRVI USING MERIS DATA FOR THE RETRIEVA OF CH A, CDOM AND TSS VAUES IN THE GUF OF FINAND AND AKE OHJANJÄRVI Sampsa Koponen 1, Jenni Vepsäläinen 2, Jouni Pulliainen 1, Kari Kallio 2, Timo Pyhälahti 2, Antti indfors

More information

Remote sensing of total suspended sediment within lakes Onoke and Wairarapa

Remote sensing of total suspended sediment within lakes Onoke and Wairarapa Remote sensing of total suspended sediment within lakes Onoke and Wairarapa Introduction Remote sensing can provide synoptic monitoring of water quality and temperature (e.g., Kloiber et al. 2002, Dekker

More information

Key words: Turbidity, Total Suspended Solids, Nephelometric Tubidity Unit, Backscattering coefficient, Inherent Optical Properties, Bio-optical Model

Key words: Turbidity, Total Suspended Solids, Nephelometric Tubidity Unit, Backscattering coefficient, Inherent Optical Properties, Bio-optical Model Investigating relationship of nephelometric turbidity unit and total suspended solids with the inherent optical properties paramete derived from spectra reflectance Kai Li KWOH [1], Sai Meng NG [1], Hong

More information

Measuring Ocean Color: The Basics

Measuring Ocean Color: The Basics Measuring Ocean Color: The Basics Radiation of energy from the Sun and the Earth s surface. Recall from previous lectures that the Sun (6000 K), radiates energy in three portions of the energy spectrum:

More information

Study of Water Quality using Satellite data

Study of Water Quality using Satellite data 2nd Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Study of Water Quality using Satellite data M. Potes, M. J. Costa (Évora Geophysics Centre, PORTUGAL) This

More information

MAR 650-Lecture 1: Influences of Light on Biological Production. Importance: In the ocean: 1) Photosynthesis and Primary Production

MAR 650-Lecture 1: Influences of Light on Biological Production. Importance: In the ocean: 1) Photosynthesis and Primary Production MAR 650-Lecture 1: nfluences of Light on Biological Production 1) Photosynthesis and Primary Production photosynthesis CO 2 H 2 O Carbohydrate O 2 respiration mportance: Photosynthesis requires lights,

More information

7. Requirements for future ocean color satellite sensors. Menghua Wang, IOCCG Lecture Series Atmospheric Correction

7. Requirements for future ocean color satellite sensors. Menghua Wang, IOCCG Lecture Series Atmospheric Correction 7. Requirements for future ocean color satellite sensors Significant efforts are needed for improvements of water color products in the inland & coastal regions: Turbid Waters (violation of the NIR black

More information

How are these equations relevant to remotely sensed data? Source: earthsci.org/rockmin/rockmin.html

How are these equations relevant to remotely sensed data? Source: earthsci.org/rockmin/rockmin.html Lecture 3 How does light give us information about environmental features Revision Select a different scoop from last week Post the key points as a reaction to http://www.scoop.it/t/env22-52-w2 (need to

More information

Characterization of global ocean turbidity from Moderate Resolution Imaging Spectroradiometer ocean color observations

Characterization of global ocean turbidity from Moderate Resolution Imaging Spectroradiometer ocean color observations JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115,, doi:10.1029/2010jc006160, 2010 Characterization of global ocean turbidity from Moderate Resolution Imaging Spectroradiometer ocean color observations Wei Shi

More information

NASA Satellite Ocean Color Timeseries

NASA Satellite Ocean Color Timeseries NASA Satellite Ocean Color Timeseries Bryan Franz and the NASA Ocean Biology Processing Group International Ocean Color Science Meeting 6-8 May 2013 Ocean Biology Processing Group Multi-mission Ocean Color

More information

Variation Trend and Characteristics of Anthropogenic CO Column Content in the Atmosphere over Beijing and Moscow

Variation Trend and Characteristics of Anthropogenic CO Column Content in the Atmosphere over Beijing and Moscow ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 214, VOL. 7, NO. 3, 243 247 Variation Trend and Characteristics of Anthropogenic CO Column Content in the Atmosphere over Beijing and Moscow WANG Pu-Cai 1, Georgy

More information

Remote Sensing of Water

Remote Sensing of Water Remote Sensing of Water Carolina Distinguished Professor Department of of Geography University of of South Carolina Columbia, South Carolina 29208 jrjensen@sc.edu sc.edu Earth: The Water Planet 74% of

More information

Monitoring water quality of the Southeastern Mediterranean sea using remote sensing

Monitoring water quality of the Southeastern Mediterranean sea using remote sensing Monitoring water quality of the Southeastern Mediterranean sea using remote sensing Tamir Caras The Remote Sensing Laboratory Jacob Blaustein Institutes for Desert Research Ben-Gurion University of the

More information

Fernando Gilbes 1, William Hernández, Natlee Hernández, José Martínez, and Vilmaliz Rodriguez Geological and Environmental Remote Sensing Lab Department of Geology University of Puerto Rico at Mayagüez

More information

Appendix A. Proposal Format. HICO Data User s Proposal

Appendix A. Proposal Format. HICO Data User s Proposal Appendix A. Proposal Format HICO Data User s Proposal Title of Proposal: A hyperspectral atmospheric correction algorithm to retrieve water-leaving radiance signal from HICO data Principal Investigator

More information

EFFECT OF SUSPENDED SEDIMENT CONCENTRATION ON REMOTE SENSING REFLECTANCE AND LIGHT PENETRATION DEPTH ABSTRACT

EFFECT OF SUSPENDED SEDIMENT CONCENTRATION ON REMOTE SENSING REFLECTANCE AND LIGHT PENETRATION DEPTH ABSTRACT EFFECT OF SUSPENDED SEDIMENT CONCENTRATION ON REMOTE SENSING REFLECTANCE AND LIGHT PENETRATION DEPTH Asif Mumtaz Bhatti 1, Seigo Nasu 2 and Masataka Takagi 3 ABSTRACT The purpose of the research was to

More information

LSP: using AVHRR NDVI data and from 2003 using MODIS NBAR. Water Quality: using MSS and TM Landsat data and from 2001 using

LSP: using AVHRR NDVI data and from 2003 using MODIS NBAR. Water Quality: using MSS and TM Landsat data and from 2001 using Land cover land use change effects on surface water quality: Integrated MODIS and SeaWiFS assessment of the Dnieper and Don River basins and their reservoirs Anatoly A. Gitelson, Wesley Moses & Daniela

More information

A Unified Approach to Remote Estimation of Chlorophyll a Concentration in Complex Inland, Estuarine, and Coastal waters

A Unified Approach to Remote Estimation of Chlorophyll a Concentration in Complex Inland, Estuarine, and Coastal waters A Unified Approach to Remote Estimation of Chlorophyll a Concentration in Complex Inland, Estuarine, and Coastal waters Wesley J. Moses 1, *, Anatoly A. Gitelson 1, Alexander A. Gilerson 2, and Daniela

More information

NASA ocean color processing and data analysis support for SGLI

NASA ocean color processing and data analysis support for SGLI NASA ocean color processing and data analysis support for SGLI Bryan Franz Ocean Biology Processing Group NASA Goddard Space Flight Center JAXA GCOM-C PI Workshop. January 2014 Collaborators Ziauddin Ahmad

More information

Flow Through System for Distinguishing Dynamic Features in the Baltic Sea

Flow Through System for Distinguishing Dynamic Features in the Baltic Sea Geophysica (2000), 36(1 2)203 214 Flow Through System for Distinguishing Dynamic Features in the Baltic Sea Department of Geophysics, P.O. Box 4, FIN-00014 University of Helsinki, Finland (Received: April

More information

SGLI/GCOM-C1. Algorithm Theoretical Basic Document. Ocean net primary productivity (ONPP)

SGLI/GCOM-C1. Algorithm Theoretical Basic Document. Ocean net primary productivity (ONPP) SGLI/GCOM-C1 Algorithm Theoretical Basic Document Ocean net primary productivity (ONPP) Version 3.3 31 March 2016 PI: Toru Hirawake 1* Co-I: Amane Fujiwara 2, Tomonori Isada 3 and Sei-ichi Saitoh 1, 4

More information

USE OF THE NEW OLCI AND SLSTR BANDS FOR ATMOSPHERIC CORRECTION OVER TURBID COASTAL AND INLAND WATERS

USE OF THE NEW OLCI AND SLSTR BANDS FOR ATMOSPHERIC CORRECTION OVER TURBID COASTAL AND INLAND WATERS USE OF THE NEW AND SLSTR BANDS FOR ATMOSPHERIC CORRECTION OVER TURBID COASTAL AND INLAND WATERS Kevin Ruddick and Quinten Vanhellemont Royal Belgian Institute for Natural Sciences (RBINS), Operational

More information

Application of Gliders for Near-Real Time METOC Data Collection Capability for Battlespace Characterization

Application of Gliders for Near-Real Time METOC Data Collection Capability for Battlespace Characterization DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. Application of Gliders for Near-Real Time METOC Data Collection Capability for Battlespace Characterization Charles Trees

More information

Modeling Coastal Ocean Optical Properties for Coupled Circulation and Ecosystem Models

Modeling Coastal Ocean Optical Properties for Coupled Circulation and Ecosystem Models Modeling Coastal Ocean Optical Properties for Coupled Circulation and Ecosystem Models Curtis D. Mobley Sequoia Scientific, Inc. 2700 Richards Road, Suite 107 Bellevue, WA 98005 phone: 425-641-0944 x 109

More information

SOLAR RADIATION ESTIMATION UNDER CLEAR SKY CONDITIONS FOR BRAŞOV AREA (ROMANIA) LINKE TURBIDITY FACTOR

SOLAR RADIATION ESTIMATION UNDER CLEAR SKY CONDITIONS FOR BRAŞOV AREA (ROMANIA) LINKE TURBIDITY FACTOR SOLAR RADIATION ESTIMATION UNDER CLEAR SKY CONDITIONS FOR BRAŞOV AREA (ROMANIA) LINKE TURBIDITY FACTOR Elena EFTIMIE Transilvania University of Braşov, Romania Abstract. The determination of solar radiation

More information

Application of Geostationary Satellite Images to the monitoring of dynamic variations

Application of Geostationary Satellite Images to the monitoring of dynamic variations The 1 st International Ocean Colour Science Meeting Darmstadt, Germany, 6-8 May 2013 Application of Geostationary Satellite Images to the monitoring of dynamic variations Jong-Kuk Choi, Young Je Park and

More information

Research and Applications using Realtime Direct Broadcast Imagery, Weather Radar, and LiDAR in Disaster Response and Preparedness

Research and Applications using Realtime Direct Broadcast Imagery, Weather Radar, and LiDAR in Disaster Response and Preparedness Research and Applications using Realtime Direct Broadcast Imagery, Weather Radar, and LiDAR in Disaster Response and Preparedness Richard P. Watson, Ph.D. University of New Mexico Earth Data Analysis Center

More information

INTERANNUAL VARIABILITY OF CHLOROPHYLL CONCENTRATION IN THE EASTERN ARABIAN SEA

INTERANNUAL VARIABILITY OF CHLOROPHYLL CONCENTRATION IN THE EASTERN ARABIAN SEA INTERANNUAL VARIABILITY OF CHLOROPHYLL CONCENTRATION IN THE EASTERN ARABIAN SEA A Summer Internship Report BY MS. Satlaj Karanje Under the guidance of Dr. S. Prasanna Kumar Scientist, NIO, Goa Department

More information

Diurnal variability of turbidity and light attenuation in the southern North Sea from the geostationary SEVIRI sensor

Diurnal variability of turbidity and light attenuation in the southern North Sea from the geostationary SEVIRI sensor Publication in review in Remote Sensing of the Environment Diurnal variability of turbidity and light attenuation in the southern North Sea from the geostationary SEVIRI sensor Griet Neukermans 1,2 Kevin

More information

Great Lakes Remote Sensing Algorithms

Great Lakes Remote Sensing Algorithms Great Lakes Remote Sensing Algorithms Status, Comparisons, and Future Directions Robert Shuchman MTRI Mike Sayers MTRI George Leshkevich NOAA/GLERL Barry Lesht JGLR/Assoc. Editor Caren Binding Environment

More information

Satellite ocean color algorithms: a review of applications to the Great Lakes

Satellite ocean color algorithms: a review of applications to the Great Lakes Satellite ocean color algorithms: a review of applications to the Great Lakes Barry M. Lesht a,, Richard P. Barbiero b, Glenn J. Warren c a CSC and Department of Earth and Environmental Sciences, University

More information

SURFACE REFLECTANCE AND UNDERWATER DOWNWELLING IRRADIANCE IN ALQUEVA RESERVOIR, SOUTHEAST PORTUGAL

SURFACE REFLECTANCE AND UNDERWATER DOWNWELLING IRRADIANCE IN ALQUEVA RESERVOIR, SOUTHEAST PORTUGAL SURFACE REFLECTANCE AND UNDERWATER DOWNWELLING IRRADIANCE IN ALQUEVA RESERVOIR, SOUTHEAST PORTUGAL M. Potes, R. Salgado, M. J. Costa, M. Morais, D. Bortoli and I. Kostadinov Institute of Earth Sciences

More information

EVALUATION OF TWO SITES FOR OCEAN COLOR VALIDATION IN THE TURBID WATERS OF THE RÍO DE LA PLATA (ARGENTINA)

EVALUATION OF TWO SITES FOR OCEAN COLOR VALIDATION IN THE TURBID WATERS OF THE RÍO DE LA PLATA (ARGENTINA) EVALUATION OF TWO SITES FOR OCEAN COLOR VALIDATION IN THE TURBID WATERS OF THE RÍO DE LA PLATA (ARGENTINA) Dogliotti, A. I. (1), Gossn, J. I. (1), Vanhellemont, Q. (2), Ruddick, K.G. (2) (1) (2) Instituto

More information

MERIS PERFORMANCE IN THE EAST CHINA SEAS: EVALUATION OF ATMOSPHERIC CORRECTION AND OPTICAL INVERSION ALGORITHMS

MERIS PERFORMANCE IN THE EAST CHINA SEAS: EVALUATION OF ATMOSPHERIC CORRECTION AND OPTICAL INVERSION ALGORITHMS MERIS PERFORMANCE IN THE EAST CHINA SEAS: EVALUATION OF ATMOSPHERIC CORRECTION AND OPTICAL INVERSION ALGORITHMS Ming-Xia HE 1, Shuangyan He 1, Lianbo Hu 1, Yunfei Wang 1, Qian Yang 1, Tinglu Zhang 1 Wenzhong

More information

Satellite data show that phytoplankton biomass and growth generally decline as the

Satellite data show that phytoplankton biomass and growth generally decline as the Oceanography Plankton in a warmer world Scott C. Doney Satellite data show that phytoplankton biomass and growth generally decline as the oceans surface waters warm up. Is this trend, seen over the past

More information

Application of MODIS Satellite Data in Modeling Total Suspended Solids in Lake Lanao, Philippines

Application of MODIS Satellite Data in Modeling Total Suspended Solids in Lake Lanao, Philippines 48 http://aajhss.org/index.php/ijhss International Journal of Humanities and Social Sciences p-issn: 1694-262 e-issn: 1694-2639 Vol. 8, No. 2, pp. 48-9, IJHSS Application of MODIS Satellite Data in Modeling

More information

Distribution and Cycling of Dissolved Organic Carbon and Colored Dissolved Organic Carbon on the West Florida Shelf

Distribution and Cycling of Dissolved Organic Carbon and Colored Dissolved Organic Carbon on the West Florida Shelf Distribution and Cycling of Dissolved Organic Carbon and Colored Dissolved Organic Carbon on the West Florida Shelf Dr. Paula Coble College of Marine Science University of South Florida 10 7 th Ave South

More information

Detection of redtides/habs: A Remote Sensing Perspective

Detection of redtides/habs: A Remote Sensing Perspective Detection of redtides/habs: A Remote Sensing Perspective P. Shanmugam 1 and Yu-Hwan Ahn 2 1 Indian Institute of Technology, Madras, India 2 Korea Ocean Research and Development Institute, Korea This presentation

More information

BIO-OPTICAL SENSORS FOR PROFILING FLOATS

BIO-OPTICAL SENSORS FOR PROFILING FLOATS BIO-OPTICAL SENSORS FOR PROFILING FLOATS J. Ronald V. Zaneveld Western Environmental Technology Laboratories, Inc. P.O. Box 518, Philomath, OR 97370, U.S.A. FAX:1-541-929-5277 e-mail:ron@wetlabs.com Introduction

More information

Land surface albedo and downwelling shortwave radiation from MSG: Retrieval, validation and impact assessment in NWP and LSM models

Land surface albedo and downwelling shortwave radiation from MSG: Retrieval, validation and impact assessment in NWP and LSM models Land surface albedo and downwelling shortwave radiation from MSG: Retrieval, validation and impact assessment in NWP and LSM models Jean-Louis ROUJEAN, Dominique CARRER, Xavier CEAMANOS, Olivier HAUTECOEUR,

More information

The Spectral Reflectance Responses of Water with Different Levels

The Spectral Reflectance Responses of Water with Different Levels Turkish J. Eng. Env. Sci. 29 (2005), 351 360. c TÜBİTAK The Spectral Reflectance Responses of Water with Different Levels of Suspended Sediment in The Presence of Algae Murat KARABULUT Kahramanmaraş Sütçü

More information

Carbon dynamics in inland and coastal ecosystems. Dragon 3 ID 10561

Carbon dynamics in inland and coastal ecosystems. Dragon 3 ID 10561 Carbon dynamics in inland and coastal ecosystems Dragon 3 ID 10561 Project Team Ronghua Ma Hongtao Duan Yuchao Zhang Juhua Luo Lin Chen Steven Loiselle Alessandro Donati Claudio Rossi Project Young Scientists

More information

2015 Fall Chesapeake Bay Water Clarity

2015 Fall Chesapeake Bay Water Clarity 2015 Fall Chesapeake Bay Water Clarity Presentation for the Scientific, Technical Assessment & Reporting (STAR) Team, January 28, 2016 Mark Trice Program Chief, Water Quality Informatics Maryland Department

More information

Beyond the two cases of water

Beyond the two cases of water 44 th Intl. Liège Colloquium on Ocean Dynamics 11 May 2012 Beyond the two cases of water Water constituent retrieval algorithms and their validity ranges Odermatt, D. 1,2, Gitelson, A. 3, Brando, V.E.

More information

doi: /j.isprsjprs

doi: /j.isprsjprs doi: 10.1016/j.isprsjprs.2012.02.008 A simple method for distinguishing global Case-1 and Case-2 waters using SeaWiFS measurements Bunkei Matsushita, 1 Wei Yang,* 2,1 Peng Chang, 1 Fan Yang, 1 Takehiko

More information

Lake transparency: a window into decadal variations in dissolved organic carbon concentrations in Lakes of Acadia National Park, Maine

Lake transparency: a window into decadal variations in dissolved organic carbon concentrations in Lakes of Acadia National Park, Maine Lake transparency: a window into decadal variations in dissolved organic carbon concentrations in Lakes of Acadia National Park, Maine Collin Roesler Department of Earth and Oceanographic Science, Bowdoin

More information

Ocean Color - Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART)

Ocean Color - Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART) Ocean Color - Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART) Yongzhen Fan, Nan Chen, Wei Li, and Knut Stamnes Light and Life Laboratory, Stevens Institute of Technology, Hoboken, NJ, USA OC-SMART

More information

Trophic state assessment of global large inland waters using the MODIS-derived FUI

Trophic state assessment of global large inland waters using the MODIS-derived FUI August 2018 Stirling Trophic state assessment of global large inland waters using the MODIS-derived FUI Shenglei Wang Junsheng Li & Bing Zhang Evangelis Spyrakos & Andrew N. Tyler RADI, Chinese Academy

More information

Satellite-derived surface water pco 2 and air sea CO 2 fluxes in the northern South China Sea in summer

Satellite-derived surface water pco 2 and air sea CO 2 fluxes in the northern South China Sea in summer Available online at www.sciencedirect.com Progress in Natural Science 19 (009) 775 779 Short communication Satellite-derived surface water pco and air sea CO fluxes in the northern South China Sea in summer

More information

ereefsoptical and biogeochemical model. CSIRO OCEANS AND ATMOSPHERE FLAGSHIP

ereefsoptical and biogeochemical model. CSIRO OCEANS AND ATMOSPHERE FLAGSHIP ereefsoptical and biogeochemical model. CSIRO OCEANS AND ATMOSPHERE FLAGSHIP 2 Presentation title Presenter name BGC state variables: - 10 dissolved - 22 living particulate - 11 non-living part. -6 epibenthic.

More information

Recent increased frequency of drought events in Poyang Lake Basin, China: climate change or anthropogenic effects?

Recent increased frequency of drought events in Poyang Lake Basin, China: climate change or anthropogenic effects? Hydro-climatology: Variability and Change (Proceedings of symposium J-H02 held during IUGG2011 in Melbourne, Australia, July 2011) (IAHS Publ. 344, 2011). 99 Recent increased frequency of drought events

More information

Diffuse Attenuation Coefficient of the Photosynthetically Available Radiation (PAR), K d (PAR), for Global Open Ocean and Coastal Waters

Diffuse Attenuation Coefficient of the Photosynthetically Available Radiation (PAR), K d (PAR), for Global Open Ocean and Coastal Waters Diffuse Attenuation Coefficient of the Photosynthetically Available Radiation (PAR), K d (PAR), for Global Open Ocean and Coastal Waters SeungHyun Son 1,2 and Menghua Wang 1 1 NOAA/NESDIS/STAR, E/RA3,

More information

MAPPING OF PHOTOSYNTHETIC PIGMENTS IN SPANISH RESERVOIRS

MAPPING OF PHOTOSYNTHETIC PIGMENTS IN SPANISH RESERVOIRS MAPPING OF PHOTOSYNTHETIC PIGMENTS IN SPANISH RESERVOIRS Ramón Peña-Martínez, José Antonio Domínguez-Gómez, Caridad de Hoyos, Antonio Ruiz-Verdú Centro de Estudios Hidrográficos del CEDEX, Pº Bajo de la

More information

Study on the Permafrost Distribution Based on RS/GIS

Study on the Permafrost Distribution Based on RS/GIS 2017 Asia-Pacific Engineering and Technology Conference (APETC 2017) ISBN: 978-1-60595-443-1 Study on the Permafrost Distribution Based on RS/GIS Kun Wang, Lichun Chen, Bin Wei and Le Wang ABSTRACT Permafrost

More information

Richard C. Zimmerman, Victoria J. Hill, John Klinck Michael Dinniman Department Ocean, Earth & Atmospheric Sciences and Center for Coastal Physical

Richard C. Zimmerman, Victoria J. Hill, John Klinck Michael Dinniman Department Ocean, Earth & Atmospheric Sciences and Center for Coastal Physical Richard C. Zimmerman, Victoria J. Hill, John Klinck Michael Dinniman Department Ocean, Earth & Atmospheric Sciences and Center for Coastal Physical Oceanography Old Dominion University Norfolk VA 23529

More information

Airborne Hyperspectral Potential for Coastal Biogeochemistry of the Scheldt Estuary and Plume

Airborne Hyperspectral Potential for Coastal Biogeochemistry of the Scheldt Estuary and Plume Airborne Hyperspectral Potential for Coastal Biogeochemistry of the Scheldt Estuary and Plume M. Shimoni & M. Acheroy Signal and Image Centre, Royal Military Academy; D. Sirjacobs & S. Djenidi GeoHydrodynamic

More information

THE IMPACTS OF URBANIZATION ON THE SURFACE ALBEDO IN THE YANGTZE RIVER DELTA IN CHINA

THE IMPACTS OF URBANIZATION ON THE SURFACE ALBEDO IN THE YANGTZE RIVER DELTA IN CHINA THE IMPACTS OF URBANIZATION ON THE SURFACE ALBEDO IN THE YANGTZE RIVER DELTA IN CHINA 08/24/2011 Mélanie Bourré Motivation Since the 20th century, rapid urbanization of the world population. United Nation

More information

APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN WATER COLOR REMOTE SENSING INVERSION OF INLAND WATER BODY USING TM DATA

APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN WATER COLOR REMOTE SENSING INVERSION OF INLAND WATER BODY USING TM DATA APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN WATER COLOR REMOTE SENSING INVERSION OF INLAND WATER BODY USING TM DATA J. P. Wang *, S. T. Cheng, H. F. Jia The Department o Environmental Science

More information

LINKE TURBIDITY FACTOR FOR BRAŞOV URBAN AREA

LINKE TURBIDITY FACTOR FOR BRAŞOV URBAN AREA LINKE TURBIDITY FACTOR FOR BRAŞOV URBAN AREA Elena EFTIMIE Abstract: Atmospheric turbidity is an important parameter for assessing the air pollution in local areas, as well as being the main parameter

More information

Environmental flow requirements (EFRs) related to preference of phytoplankton in the Yellow River Estuary (YRE) based on an ecohydrodynamic model

Environmental flow requirements (EFRs) related to preference of phytoplankton in the Yellow River Estuary (YRE) based on an ecohydrodynamic model Environmental flow requirements (EFRs) related to preference of phytoplankton in the Yellow River Estuary (YRE) based on an ecohydrodynamic model R. Zhao, Z. F. Yang*, T. Sun State Key Laboratory of Water

More information

Application of OCEANSAT-2 2 data to study the CASE- 2 waters in the North-Eastern Mediterranean sea (NEMO-C2W)

Application of OCEANSAT-2 2 data to study the CASE- 2 waters in the North-Eastern Mediterranean sea (NEMO-C2W) Application of OCEANSAT-2 2 data to study the CASE- 2 waters in the North-Eastern Mediterranean sea (NEMO-C2W) IIA PI: Stefano Pignatti Italian National Research Council Atmospheric Pollution E-mail: rosa.cavalli@lara.rm.cnr.it

More information

Classification of algal bloom types From remote sensing reflectance

Classification of algal bloom types From remote sensing reflectance GISdevelopment.net ---> AARS ---> ACRS 2000 ---> Oceanography Print ification of algal bloom types From remote sensing reflectance Soo Chin LIEW, Leong Keong KWOH, and Hock LIM Centre for Remote Imaging,

More information

ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS

ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS Asif Mumtaz Bhatti, Donald C. Rundquist, Seigo Nasu and Masataka Takagi Research Associate, COE,

More information

SOLAR PHOTOVOLTAICS Part 1

SOLAR PHOTOVOLTAICS Part 1 SOLAR PHOTOVOLTAICS Part 1 Solar Energy Contents Irradiance, Solar Constant Solar Window & tilt effects Atmospheric effects, air mass Solar spectrum, sensitivity of PV materials to various wavelengths

More information

Contents and Distribution of Petroleum Hydrocarbons (PHC) in Jiaozhou Bay Waters

Contents and Distribution of Petroleum Hydrocarbons (PHC) in Jiaozhou Bay Waters Open Journal of Marine Science, 2011, 3, 108-112 http://dx.doi.org/10.4236/ojms.2011.13011 Published Online October 2011 (http://www.scirp.org/journal/ojms) Contents and Distribution of Petroleum Hydrocarbons

More information

Global Biogeochemical cycles and Ocean Productivity

Global Biogeochemical cycles and Ocean Productivity Global Biogeochemical cycles and Ocean Productivity Biological Oceanography Recall: goal is not to understand the biology of one particular organism (or group), but to understand organisms fit into the

More information

Crop Growth Remote Sensing Monitoring and its Application

Crop Growth Remote Sensing Monitoring and its Application Sensors & Transducers 2014 by IFSA Publishing, S. L. http://www.sensorsportal.com Crop Growth Remote Sensing Monitoring and its Application Delan Xiong International School of Education, Xuchang University,

More information

Remote Sensing of Water Quality in Wisconsin

Remote Sensing of Water Quality in Wisconsin Remote Sensing of Water Quality in Wisconsin 1 Steve Greb, UW-Madison Daniela Gurlin, WDNR ----------------------------------- Wisconsin Lakes Convention April 19 th, 218 MODIS Today website are acquired

More information

Final Report of Activities carried out during the STM period at NIGLAS-CAS

Final Report of Activities carried out during the STM period at NIGLAS-CAS Programma STM - Short Term Mobility (Anno 215) -Paolo Villa [authorized with Prot. AMMCNT Num. 2422 of 9/4/215] Programma STM - Short Term Mobility (Anno 215), authorized with Prot. AMMCNT Num. 2422 of

More information

A Novel Multispectral Imaging Method for Real-time Algal Culture Monitoring

A Novel Multispectral Imaging Method for Real-time Algal Culture Monitoring Solar Energy and Renewable Fuels Laboratory A Novel Multispectral Imaging Method for Real-time Algal Culture Monitoring Thomas E. Murphy, Keith B. Macon, and Halil Berberoglu Mechanical Engineering Department

More information

Satellite based inland and coastal water quality monitoring

Satellite based inland and coastal water quality monitoring Satellite based inland and coastal water quality monitoring Harmonized transnational, long-term and near-real time space based solutions. Thomas Heege CEO EOMAP Germany Earth Observation & Mapping Inland

More information

Estimating Primary Productivity with WIM/WAM

Estimating Primary Productivity with WIM/WAM Estimating Primary Productivity with WIM/WAM Mati Kahru 2008 1 Estimating Primary Productivity with WIM/WAM Contents Estimating Primary Productivity with WIM/WAM... 1 1 Introduction... 1 2 Prerequisites...

More information

Monetnaya, , St. Petersburg, Russia b Nansen Environmental and Remote Sensing Centre, Edvard Griegsvei 3A, N Available online: 07 Jun 2010

Monetnaya, , St. Petersburg, Russia b Nansen Environmental and Remote Sensing Centre, Edvard Griegsvei 3A, N Available online: 07 Jun 2010 This article was downloaded by: [Universitetsbiblioteket i Bergen] On: 23 December 2011, At: 01:11 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered

More information

Numerical Modeling of Thermal Bar Evolution in Lake Ontario using the EFDC Model Rumana Reaz Arifin

Numerical Modeling of Thermal Bar Evolution in Lake Ontario using the EFDC Model Rumana Reaz Arifin Numerical Modeling of Thermal Bar Evolution in Lake Ontario using the EFDC Model Rumana Reaz Arifin 14 th Great Lakes Beach Association Conference November 14, 2014 Layout Introduction EFDC Lake Ontario

More information

Development of Carbon Data Products for the Coastal Ocean: Implications for Advanced Ocean Color Sensors

Development of Carbon Data Products for the Coastal Ocean: Implications for Advanced Ocean Color Sensors Development of Carbon Data Products for the Coastal Ocean: Implications for Advanced Ocean Color Sensors Antonio Mannino NASA Goddard Space Flight Center Greenbelt, Maryland USA Field Activities & DOC

More information

Mapping water constituents concentrations in estuaries using MERIS full resolution satellite data

Mapping water constituents concentrations in estuaries using MERIS full resolution satellite data Mapping water constituents concentrations in estuaries using MERIS full resolution satellite data David Doxaran, Marcel Babin Laboratoire d Océanographie de Villefranche UMR 7093 CNRS - FRANCE In collaboration

More information

Pattern recognition of marine provinces

Pattern recognition of marine provinces International Journal of Remote Sensing Vol. 26, No. 7, 10 April 2005, 1499 1503 Pattern recognition of marine provinces K.-H. SZEKIELDA The Graduate School and University Center, Earth and Environmental

More information

Using A Satellite to Help Us Evaluate the Impacts of Oyster Restoration: A Perspective From Above

Using A Satellite to Help Us Evaluate the Impacts of Oyster Restoration: A Perspective From Above Using A Satellite to Help Us Evaluate the Impacts of Oyster Restoration: A Perspective From Above A NESDIS/NMFS Collaboration & Contribution to the Choptank HFA Water Column Habitat Study Sept 27, 2018

More information

NASA Workshop for Remote Sensing of Coastal & Inland Waters

NASA Workshop for Remote Sensing of Coastal & Inland Waters NASA Workshop for Remote Sensing of Coastal & Inland Waters Madison, Wisconsin June 20-22, 2012 Dr. Robert Shuchman, MTRI George Leshkevich, NOAA GLERL Contributors: Michael Sayers, MTRI Colin Brooks,

More information

Drones: A New Tool for Water Monitoring

Drones: A New Tool for Water Monitoring Drones: A New Tool for Water Monitoring Donglai Gong Carl Friedrichs, Ryan Carnegie Outline What are the goals of water monitoring (from marine scientist s perspective)? Healthy ecosystem? Fisheries /

More information

ALOS AVNIR-2 DIGITAL DATA ANALYSIS FOR TURBIDITY MAPPING IN SEMARANG COASTAL AREA, CENTRAL JAVA, INDONESIA. Muhammad Helmi and Muhammad Arief Wibowo

ALOS AVNIR-2 DIGITAL DATA ANALYSIS FOR TURBIDITY MAPPING IN SEMARANG COASTAL AREA, CENTRAL JAVA, INDONESIA. Muhammad Helmi and Muhammad Arief Wibowo ALOS AVNIR-2 DIGITAL DATA ANALYSIS FOR TURBIDITY MAPPING IN SEMARANG COASTAL AREA, CENTRAL JAVA, INDONESIA Muhammad Helmi and Muhammad Arief Wibowo Marine Sciences Department, Faculty of Fisheries and

More information

In situ Requirements for Ocean Color System Vicarious Calibration: A Review

In situ Requirements for Ocean Color System Vicarious Calibration: A Review In situ Requirements for Ocean Color System Vicarious Calibration: A Review Background literature G. Zibordi, Ispra, Italy G.Zibordi, F. Mélin, K.J. Voss, B.C. Johnson, B.A. Franz, E. Kwiatkowska, J.P.

More information

Journal of Physics: Conference Series PAPER OPEN ACCESS. To cite this article: H Wibisana et al 2018 J. Phys.: Conf. Ser.

Journal of Physics: Conference Series PAPER OPEN ACCESS. To cite this article: H Wibisana et al 2018 J. Phys.: Conf. Ser. Journal of Physics: Conference Series PAPER OPEN ACCESS Optimalisation of remote sensing algorithm in mapping of chlorophyl-a concentration at Pasuruan coastal based on surface reflectance images of Aqua

More information

Future remote sensors for chlorophyll a. Dimitry Van der Zande, Quinten Vanhellemont & Kevin Ruddick

Future remote sensors for chlorophyll a. Dimitry Van der Zande, Quinten Vanhellemont & Kevin Ruddick Future remote sensors for chlorophyll a Dimitry Van der Zande, Quinten Vanhellemont & Kevin Ruddick Workshop Scheldt Commission: eutrophication 20 th October 2016 Ocean colour from space ESA MERIS 7 May

More information

DRAFT. DRAFT July 9, 2013 Lake-Wide Survey (No. 8) Page 1 of Cayuga Lake. Lake-Wide Seabird Profiles

DRAFT. DRAFT July 9, 2013 Lake-Wide Survey (No. 8) Page 1 of Cayuga Lake. Lake-Wide Seabird Profiles Cayuga Lake Lake-Wide Seabird Profiles July 9, Provisional Data Summary Submitted: for review; for discussion purposes only Anthony R. Prestigiacomo Research Scientist July 9, Lake-Wide Survey (No. 8)

More information

Cold-humid effect of Baiyangdian wetland

Cold-humid effect of Baiyangdian wetland Water Science and Engineering, 2012, 5(1): 1-10 doi:10.3882/j.issn.1674-2370.2012.01.001 http://www.waterjournal.cn e-mail: wse2008@vip.163.com Cold-humid effect of Baiyangdian wetland Hui-yun LI, Shi-guo

More information

Ocean Optics XVI Conference, Santa Fe, New Mexico, November 18-22, 2002

Ocean Optics XVI Conference, Santa Fe, New Mexico, November 18-22, 2002 BIO-OPTICAL EVIDENCE OF LAND-SEA INTERACTIONS IN THE WESTERN COAST OF PUERTO RICO Fernando Gilbes 1, Roy A. Armstrong 2, Richard L. Miller 3, Carlos E. Del Castillo 3, Marcos Rosado 2, and Nazario Ramirez

More information

Remote sensing for aquatic habitat quality mapping and EU Water Framework Directive (EU-WFD) reporting

Remote sensing for aquatic habitat quality mapping and EU Water Framework Directive (EU-WFD) reporting Remote sensing for aquatic habitat quality mapping and EU Water Framework Directive (EU-WFD) reporting S. C. J. Palmer 1,2, A. Zlinszky 1, H. Balzter 2, V. R. Tóth 1 1 Balaton Limnological Institute, Hungarian

More information

Numerical Simulation of Impacts on Marine Environment by Sewage Discharge

Numerical Simulation of Impacts on Marine Environment by Sewage Discharge MATEC Web of Conferences 22, 04019 ( 2015) DOI: 10.1051/ matecconf/ 20152204019 C Owned by the authors, published by EDP Sciences, 2015 Numerical Simulation of Impacts on Marine Environment by Sewage Discharge

More information

Simulation of soil moisture for typical plain region using the Variable Infiltration Capacity model

Simulation of soil moisture for typical plain region using the Variable Infiltration Capacity model doi:10.5194/piahs-368-215-2015 Remote Sensing and GIS for Hydrology and Water Resources (IAHS Publ. 368, 2015) (Proceedings RSHS14 and ICGRHWE14, Guangzhou, China, August 2014). 215 Simulation of soil

More information

Nutrients, Algal Blooms and Red Tides in Hong Kong Waters. Paul J. Harrison and Jie XU

Nutrients, Algal Blooms and Red Tides in Hong Kong Waters. Paul J. Harrison and Jie XU Nutrients, Algal Blooms and Red Tides in Hong Kong Waters Paul J. Harrison and Jie XU Division of Environment, Hong Kong University of Science & Technology 1. Introduction The Pearl River is China's second

More information